Mastering Python for Data Science
Samir Madhavan
Reading Time
at 250 WPM4h 54m
The average reader, reading at a speed of 250 WPM, would take 4h 54m to read Mastering Python for Data Science.
Personalise your estimate by entering your reading speed below
Test my reading speedEnter speed in words per minute
10
days at 30 min/day
294
total minutes
Mastering Python for Data Science
Published
2015
Publisher
Packt Publishing, Limited
Pages
294
ISBN-13
9781784392628
Frequently Asked Questions
How many pages are in Mastering Python for Data Science?
This edition of Mastering Python for Data Science has approximately 294 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Mastering Python for Data Science?
For most readers, Mastering Python for Data Science typically takes between 6h 8m and 4h 5m to complete. This is based on the book's length of approximately 73,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 54m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 10 days • Estimated word count: 73,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Mastering Python for Data Science?
The estimated word count for Mastering Python for Data Science is approximately 73,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Mastering Python for Data Science?
Mastering Python for Data Science was written by Samir Madhavan.
When was Mastering Python for Data Science published?
The publication date for this specific edition is 2015. The original work may have been published on a different date.